Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules

This article proposes a method for achieving an appropriate balance between the parameters of support, precision, and simplicity during the evolution of classification rules by means of genetic programming. The method includes an adaptive procedure in order to achieve such balance. This work lies wi...

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Detalles Bibliográficos
Autores principales:	Carreño, Emiliano, Leguizamón, Guillermo
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2006
Materias:	Ciencias Informáticas Data mining classification rules ranking genetic programming comprehensible knowledge
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/22626
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-22626
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Data mining classification rules ranking genetic programming comprehensible knowledge
spellingShingle	Ciencias Informáticas Data mining classification rules ranking genetic programming comprehensible knowledge Carreño, Emiliano Leguizamón, Guillermo Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
topic_facet	Ciencias Informáticas Data mining classification rules ranking genetic programming comprehensible knowledge
description	This article proposes a method for achieving an appropriate balance between the parameters of support, precision, and simplicity during the evolution of classification rules by means of genetic programming. The method includes an adaptive procedure in order to achieve such balance. This work lies within the data mining context, more precisely, it focuses on the extraction of comprehensible knowledge where the approach introduced plays a predominant role. Experimental results demonstrate the advantages of using the proposed method
format	Objeto de conferencia Objeto de conferencia
author	Carreño, Emiliano Leguizamón, Guillermo
author_facet	Carreño, Emiliano Leguizamón, Guillermo
author_sort	Carreño, Emiliano
title	Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title_short	Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title_full	Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title_fullStr	Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title_full_unstemmed	Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
title_sort	achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules
publishDate	2006
url	http://sedici.unlp.edu.ar/handle/10915/22626
work_keys_str_mv	AT carrenoemiliano achievinganappropriatebalancebetweenprecisionsupportandcomprehensibilityintheevolutionofclassificationrules AT leguizamonguillermo achievinganappropriatebalancebetweenprecisionsupportandcomprehensibilityintheevolutionofclassificationrules
bdutipo_str	Repositorios
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Achieving an appropriate balance between precision, support, and comprehensibility in the evolution of classification rules

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